Package: bats Version: 1.2.1-3~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: shells Filename: pool/main/b/bats/bats_1.2.1-3~nd20.10+1_all.deb Size: 27460 SHA256: e6136172fee20dded1f63d759b091864a34cd62b44161eeffeab578af94f39ef SHA1: e29ee244487a71e8288df66a7a9fa2a199f00aab MD5sum: 84ceed6c0ae282aff406038e70f7f05e Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: connectome-workbench Version: 1.5.0-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 55606 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libftgl2 (>= 2.4.0), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 6), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.14.1), libqt5gui5 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5 (>= 5.14.1), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.14.1), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 9), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.5.0-1~nd20.10+1_amd64.deb Size: 24632860 SHA256: 71e944ee471b3f3ebb97c28661ef6058e1a9b2259f4e8b693cfc66a29422ac90 SHA1: dd02cc6880f3b9867c993e2cde7be9d8a762422e MD5sum: 154bc87978b7b07c85fad394a20e273c Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.5.0-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 284575 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.5.0-1~nd20.10+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.5.0-1~nd20.10+1_amd64.deb Size: 281615688 SHA256: fd123477a279d57b7c92df53190bee15e989f432ac96801507e1a4084e6629ca SHA1: be4881d1568a67cacd264f4e889983b6e8cf5caf MD5sum: 3e6f1899c026186c545897918b9f7112 Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: 4a8da85383dddb0e88bc1e2d27818fc6642e72c4 fda37df9c0e0e0b559bf2772e2d4103c02b1f37d Package: datalad Version: 0.14.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 183 Depends: neurodebian-popularity-contest, python3-datalad (= 0.14.0-1~nd20.10+1), python3-argcomplete, python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.14.0-1~nd20.10+1_all.deb Size: 143504 SHA256: 5f3faa3e1d57bbf09da1583428f50c65fedf9450229983e255cf37d1b7ac7917 SHA1: 99a0e4787c4e4d6b7314aad304956c151b792f0f MD5sum: 9bfa37cee2e3abffb6cf9050be961e20 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: datalad-container Version: 1.1.2-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd20.10+1_all.deb Size: 23872 SHA256: c91439869b4f7c5c1c723b4ce345bd728197b47cb8776d76d8b9e8f4f00699a2 SHA1: c8975c0083785c8e77c6ff98f80650751ecf761d MD5sum: 3efc0401caa47775ca3e2e194575523d Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20201102-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.6 (>= 0.6.2) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20201102-1~nd20.10+1_amd64.deb Size: 219788 SHA256: b6fef4485f2a1a464b60016a43a5c06ac60883b74089b45cc70f14bfe5833298 SHA1: 05dbcced589811c52edf02d33f289d48976bb681 MD5sum: f0a4d4d32e8525db0f5389f8d720baab Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: git-annex-standalone Source: git-annex Version: 8.20210223-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 194578 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_8.20210223-1~ndall+1_amd64.deb Size: 67361064 SHA256: f191e66ff49b8068e10a3152bfa1625842be29ad85fd0f3c1aa8e001cc738a5e SHA1: d198f56549ae0fd5a80853f7e3cf068bd0ec405a MD5sum: 11f8049599c70eed8544a1887b6a3a26 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: neurodebian Version: 0.41.0~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.41.0~nd20.10+1_all.deb Size: 34560 SHA256: 930da6d2d7817923d3c4afa804ec4b2b1686bf8c2a9dec13e9288d664db1d2f0 SHA1: 01e88bfbbeef1bab2dba591e2de5533c4f128ddc MD5sum: 28f9a06dee84f6bfc674a691ea789cb4 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.41.0~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.41.0~nd20.10+1_all.deb Size: 11544 SHA256: d2c901f8cf94e07d75460be41ddae1c8f8f32c3529720145cef9b881532ec942 SHA1: 9a8f91479481e50b4e9c91ca58b56657b7958b1b MD5sum: 7de364939c6fc31416d4433dde970efb Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.41.0~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 198 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.41.0~nd20.10+1_all.deb Size: 121920 SHA256: a2c7fb116d5e0e108d8dfc9962f506de7f43ef3f094ce02fc89f32491ead2b46 SHA1: 60bfa9d6b5e36ca881b9857b023c59dc0746c650 MD5sum: 9b345372a8a8270de64715b5ae0c6a8b Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.41.0~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.41.0~nd20.10+1_all.deb Size: 34860 SHA256: 2e6382cac0b2ab42138dbee875954d9418afdf5dd84ff2451ddd6ebb2b0211e4 SHA1: 54e30e4e4dd0adb2ca6de690218cb75e245ac7bf MD5sum: bc97a848e9b43adb5f478072fd9de59c Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.41.0~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.41.0~nd20.10+1_all.deb Size: 15704 SHA256: c09424c9c36ff7a6c7e9346d68d2b46023862da1ea0de43d0990c3e137cb2982 SHA1: 76ca4f9b78307290d7f0ffc0a04c0246700e8d2d MD5sum: 3343ebe4bde6cee390a8714c294863a1 Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.41.0~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.41.0~nd20.10+1_all.deb Size: 13572 SHA256: 475b19036a476e75c52bc3109bc49b2f1cf4684e1c79d3b60de41ea4fd64dae2 SHA1: 0ea92550a56a0e9342fcbb021713b57223da5309 MD5sum: 6bceccf4e09e932141bebeccd74a707c Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.6.11.3+ds-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8434 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-appdirs | base-files (<< 7.2), python3-dev, base-files (>= 11) | python-dev (>= 2.6.6-2), python3:any (>= 3.3~) Recommends: python3-lxml, strace, chrpath, ccache Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.11.3+ds-1~nd20.10+1_all.deb Size: 1004212 SHA256: bb023710864be5f9f433544a6b0e3d657647862af6ab0255f2b408ecc30c8fa8 SHA1: f9e9270db94ffaf5c782240c25a5d5407945658b MD5sum: bd254af828ba6032088b048c448bd936 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5523 Depends: neurodebian-popularity-contest, octave (>= 5.2.0), freeglut3 (>= 2.8.1), libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-25 (>= 2.2.6), libfreenect0.5 (>= 1:0.1.1), libgcc-s1 (>= 3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.6.0), libgstreamer1.0-0 (>= 1.4.0), libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 9), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1 (>= 2:1.6.12), libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.17.6.dfsg1-1~nd20.10+1), psychtoolbox-3-lib (= 3.0.17.6.dfsg1-1~nd20.10+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.17.6.dfsg1-1~nd20.10+1_amd64.deb Size: 1052292 SHA256: d282a2f245dbae4a0b3992dc4ad026c1d9d1c8a894ab3d36bb91f3fdb3433745 SHA1: 113e2c428c2f814a53550ea80657fd964e31fde2 MD5sum: 8db1757a40399f8fe1be195e18fb33eb Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 657424 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.17.6.dfsg1-1~nd20.10+1_all.deb Size: 32495684 SHA256: 2cafa072599fdb80ea3a33550a6d6cbdaf58e988a4bbfa315276a73c8ec7bc2b SHA1: 5825cca81e445a3a6abb264bc8f88e1d2bdc8315 MD5sum: 38b60c8b7a754c357ecb7f07be78a52e Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 253 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.17.6.dfsg1-1~nd20.10+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.17.6.dfsg1-1~nd20.10+1_amd64.deb Size: 174168 SHA256: b83a184ee2f1ca237a33c19ffbf6b1168bea1f43e8e9ee12f69e7b50ba9e3108 SHA1: d97206b7b32df495ab4696a5d68e809108fd23cf MD5sum: 28d255b189528746a87c1a10b7c79e8b Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Build-Ids: 1f474889245f39c1ed1e0b2ef665994ab3d91abd 55f28a6f447c7961ae391c43a56571d9f5e71d18 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 208 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav, libvulkan1 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.17.6.dfsg1-1~nd20.10+1_amd64.deb Size: 76304 SHA256: f94d55f71a8ff2ff56be1f6e81c24c25d370ff434570684f70418d725285819b SHA1: 0a0c9b8a61f71f3af0a50faedd9c0d15a59e51c3 MD5sum: adcec1f2036aee5113ccf5e23ca88159 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-nibabel-doc Source: nibabel Version: 3.2.1-2~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10686 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: https://nipy.org/nibabel/ Priority: optional Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_3.2.1-2~nd20.10+1_all.deb Size: 1609716 SHA256: 8502fbe30696a52af7bf455697d05e742cfdf3950e4b995431bf9d1add6f56eb SHA1: ef2e95a3291dbfd76db2047d6ecefed4c5220278 MD5sum: 61d6f5b597a51153fb6a1327f785470a Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy-doc Source: nipy Version: 0.4.3~rc1-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9623 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 2.4.3-5~) Recommends: python3-nipy Homepage: https://nipy.org/nipy/ Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.3~rc1-1~nd20.10+1_all.deb Size: 1918008 SHA256: 5d57235fcec27f51ed3f04e12b1af9e15b459b3f44308ee7e85b6077d65cbce3 SHA1: 89e696a8c3258272573f0c7199e6d50dbbcba3c1 MD5sum: de187ae4700bdb7ffd8431886a5a52e5 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipype-doc Source: nipype Version: 1.6.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12444 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.6.0-1~nd20.10+1_all.deb Size: 1252992 SHA256: 52c90ef9a0bce84498e8c076e31af0ed96e850506a2541954454c7dc3a261afe SHA1: eeec2fa939d28498601f94ded07c00e288b7f62b MD5sum: 1e81aa2eee8f1741cae698bf700050a8 Description: Neuroimaging data analysis pipelines in Python3 -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime-doc Source: nitime Version: 0.9-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4102 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nitime Homepage: https://nipy.org/nitime Priority: optional Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.9-1~nd20.10+1_all.deb Size: 2396712 SHA256: 622f8cc6f34457046902c44ffcfb7d10d82135391bacdd73947f7792f9031036 SHA1: 9dcfe5bc30e278553cba73c9078d3bbb985aa5f6 MD5sum: 2b2c23753a50ea81640a02bb4fd7ad23 Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python3-datalad Source: datalad Version: 0.14.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5404 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3 (>= 3.6), python3-appdirs, python3-annexremote, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3:any Recommends: python3-boto, python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.14.0-1~nd20.10+1_all.deb Size: 1130328 SHA256: db9b6424e35d5683a4af388643b515850b7c343cc1f323eee6d48c692c9ea927 SHA1: c35f9d4acaa3c6e46de41a5d748af7c8ccf906a7 MD5sum: 825ecdfe047a37830a47bbcd86e641eb Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-github Source: pygithub Version: 1.43.7-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-deprecated, python3-jwt, python3-requests, python3:any Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.43.7-1~nd20.10+1_all.deb Size: 64628 SHA256: 4efff3fd7131445db5f0d3b01f19fd808c1ebfe81cc012e09ee1ce9f62726ab2 SHA1: 4c61c76aecd6d86f01c11e2dbe8ebf3f65939010 MD5sum: 2341851cb09a5d76607c4db6fc0f7554 Description: Access the full Github API v3 from Python3 This is a Python library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-nibabel Source: nibabel Version: 3.2.1-2~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65965 Depends: neurodebian-popularity-contest, python3-numpy, python3-packaging, python3:any, python3-scipy, python3-six Recommends: python3-pydicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Breaks: python-nibabel Replaces: python-nibabel Homepage: https://nipy.org/nibabel/ Priority: optional Section: python Filename: pool/main/n/nibabel/python3-nibabel_3.2.1-2~nd20.10+1_all.deb Size: 2689456 SHA256: 5afc08b3aed794fad63202e389f8c56d1449080d11b0c70fef767999b20af572 SHA1: 816222bf57fa489eaaad5c61e1742a50cb6c9098 MD5sum: 7b2bdd66f231a5af95dcfd002992f5b9 Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nipy Source: nipy Version: 0.4.3~rc1-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3551 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.3~rc1-1~nd20.10+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Breaks: python-nipy Replaces: python-nipy Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.4.3~rc1-1~nd20.10+1_all.deb Size: 781984 SHA256: 46556266c403249a9bccb86fc0749fdccce95437ed4086d6d8cc7486a302464d SHA1: 327224b2ff51b3b54e4152af02e7be62a7a9520b MD5sum: a3c209558ebc836cad0a0cbecd04de0b Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Package: python3-nipy-lib Source: nipy Version: 0.4.3~rc1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2622 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.9), python3 (>= 3.8~) Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.4.3~rc1-1~nd20.10+1_amd64.deb Size: 588912 SHA256: 4a5ab93c1baf3a7332cdd592c6c288635c768b20c036c19212e75f43bc3bf18b SHA1: 230b9a66517aa6977b1fe75c97ba426c1cb3ee26 MD5sum: d47301ff0c30fcb4899837a30d7d8070 Description: Analysis of structural and functional neuroimaging data (compiled modules) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Package: python3-nipy-lib-dbg Source: nipy Version: 0.4.3~rc1-1~nd20.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14590 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.9), python3-dbg (>= 3.8~), python3-nipy-lib (= 0.4.3~rc1-1~nd20.10+1) Homepage: https://nipy.org/nipy/ Priority: optional Section: debug Filename: pool/main/n/nipy/python3-nipy-lib-dbg_0.4.3~rc1-1~nd20.10+1_amd64.deb Size: 4613560 SHA256: 77e2812df3d3f270e9e5deb108d3cdbe0c2580e4e00f660cd82d89272a6af837 SHA1: e57a5cbf75b1ebeb90d03d022c35bda8d6b7201c MD5sum: 144dc524dbe0b4aa6e532dfa7ed38c89 Description: Analysis of structural and functional neuroimaging data (debug symbols) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Build-Ids: 0d480c45bbaada62894f26d738b2415faeb12c37 144f9fe1b3c074e3969dddd9851df62377af0204 2119c7cda39cc6cd0d8bc7878e92acfe65a24717 50fbcca596469d61d3212dcba9994d07a30f027a 6d344c758850956f0216f7bec2a3efad14de422a 70a4d18dd1de0e6a98c013ee9c61afee8a520b72 80f86c54ae31105d01104c2a5256252cb997e85a 9765058dc7fe745c3e838a6f704356a27a8d913a 999d79f4811332727d4dd3cc5b5f4d9f0a7212f0 a895539c92b9497c437bec833e6efe3dddc8e17c c4ceccff781f354a38afbb80835115737f91d0e5 c9bfb89263ed4ce767c5322aaa6d75680c738156 daa7a7b01752684ba4dd08095a30ce2babd7da6f dc5cc716591f62f7686cc444b0b3aa29b15cb61b Package: python3-nipype Source: nipype Version: 1.6.0-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10711 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-etelemetry, python3-filelock, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-rdflib, python3-scipy, python3-simplejson, python3-traits, python3:any, python3-funcsigs, python3-future, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-mock, python3-pydotplus, python3-pydot, python3-cfflib Suggests: fsl, afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.6.0-1~nd20.10+1_all.deb Size: 1842664 SHA256: 6b98a3bb2321d557baa0648dae1ae8ca466ea061ea5c8b0234f85aca804d43cc SHA1: ad0cff8ab38f592e194f5060b418e0399c14ef17 MD5sum: 4b52d4e7a712106302b4b8fd14723c89 Description: Neuroimaging data analysis pipelines in Python3 Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python3-nitime Source: nitime Version: 0.9-1~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9358 Depends: neurodebian-popularity-contest, cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any Recommends: python3-nose Homepage: https://nipy.org/nitime Priority: optional Section: python Filename: pool/main/n/nitime/python3-nitime_0.9-1~nd20.10+1_all.deb Size: 2574036 SHA256: 6578e7ef09d49353463012dd72c814a58bb07439142aecf46187898dba5df40e SHA1: 7ea6772f00764d3fc6960c37eab278b477be0057 MD5sum: 4bbbf0cf1fee6b0fa112f837ef6f8b47 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python3-sphinxcontrib.apidoc Source: python-sphinxcontrib.apidoc Version: 0.2.1-2~nd20.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any Homepage: https://github.com/sphinx-contrib/apidoc Priority: optional Section: python Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.2.1-2~nd20.10+1_all.deb Size: 7484 SHA256: 2870a9a128bf8b7f6f380c004f2a3b9e1f8013d3f88e6befba5fc6d37d4b5689 SHA1: 657d23707e89f99de6679e7971369374dbf28c9c MD5sum: 0e4247cd121a337ad066b156fd3bcc0e Description: Sphinx extension for running 'sphinx-apidoc' on each build - Python 3.x sphinx-apidoc is a tool for automatic generation of Sphinx sources that, using the autodoc sphinx_autodoc extension, documents a whole package in the style of other automatic API documentation tools. sphinx-apidoc does not actually build documentation - rather it simply generates it. As a result, it must be run before sphinx-build. . This package contains the Python 3.x module.